Ronak Etemadpour

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Visualization of high-dimensional data requires a mapping to a visual space. Whenever the goal is to preserve similarity relations a frequent strategy is to use 2D projections, which afford intuitive interactive exploration, e.g., by users locating and selecting groups and gradually drilling down to individual objects. In this paper, we propose a framework(More)
Similarity-based layouts generated by multidimensional projections or other dimension reduction techniques are commonly used to visualize high-dimensional data. Many projection techniques have been recently proposed addressing different objectives and application domains. Nonetheless, very little is known about the effectiveness of the generated layouts(More)
This paper introduces new terminology to describe the perceptual qualities of the non-photorealistic animation sequences created using an analysis/synthesis approach to rendering. Specifically, we propose the use of different matching optimization criteria as part of the creative control for generating animated sequences, or stylized video, and we explore(More)
Node-link diagrams are widely used for visualizing relational data in a wide range of fields. However, in many situations it is useful to provide set membership information for elements in networks. We present BranchingSets, an interactive visualization technique that uses visual encodings similar to Kelp Diagrams in order to augment traditional node-link(More)
When investigating multidimensional data sets with very large numbers of objects and/or a very large number of dimensions, a variety of visualization methods can be employed in order to represent the data effectively and to enable the user to explore the data at different levels of detail. A common strategy for encoding multidi-mensional data for visual(More)